train_set

Dataset statistics

Number of variables	33
Number of observations	800
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.0 MiB
Average record size in memory	1.3 KiB

Variable types

Numeric	14
Categorical	18
Boolean	1

Alerts

`months_as_customer` is highly overall correlated with `age`	High correlation
`age` is highly overall correlated with `months_as_customer`	High correlation
`total_claim_amount` is highly overall correlated with `injury_claim` and 4 other fields	High correlation
`injury_claim` is highly overall correlated with `total_claim_amount` and 4 other fields	High correlation
`property_claim` is highly overall correlated with `total_claim_amount` and 4 other fields	High correlation
`vehicle_claim` is highly overall correlated with `total_claim_amount` and 4 other fields	High correlation
`number_of_vehicles_involved` is highly overall correlated with `incident_type`	High correlation
`incident_type` is highly overall correlated with `total_claim_amount` and 5 other fields	High correlation
`collision_type` is highly overall correlated with `total_claim_amount` and 4 other fields	High correlation
`auto_make` is highly overall correlated with `auto_model`	High correlation
`auto_model` is highly overall correlated with `auto_make`	High correlation
`policy_number` has unique values	Unique
`umbrella_limit` has 639 (79.9%) zeros	Zeros
`capital-gains` has 414 (51.7%) zeros	Zeros
`capital-loss` has 383 (47.9%) zeros	Zeros
`incident_hour_of_the_day` has 43 (5.4%) zeros	Zeros
`injury_claim` has 18 (2.2%) zeros	Zeros
`property_claim` has 16 (2.0%) zeros	Zeros

Reproduction

Analysis started	2023-07-30 12:39:36.901259
Analysis finished	2023-07-30 12:40:21.474128
Duration	44.57 seconds
Software version	ydata-profiling vv4.3.1
Download configuration	config.json

months_as_customer
Real number (ℝ)

HIGH CORRELATION

Distinct	360
Distinct (%)	45.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	204.00125

Minimum	0
Maximum	479
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	27
Q1	115.75
median	202
Q3	276
95-th percentile	428
Maximum	479
Range	479
Interquartile range (IQR)	160.25

Descriptive statistics

Standard deviation	114.30895
Coefficient of variation (CV)	0.56033458
Kurtosis	-0.47826313
Mean	204.00125
Median Absolute Deviation (MAD)	80.5
Skewness	0.34434294
Sum	163201
Variance	13066.537
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
254	7	0.9%
210	6	0.8%
239	6	0.8%
257	6	0.8%
222	6	0.8%
61	6	0.8%
140	6	0.8%
246	6	0.8%
194	6	0.8%
289	6	0.8%
Other values (350)	739	92.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
1	3	0.4%
2	2	0.2%
3	2	0.2%
4	2	0.2%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	3	0.4%
9	2	0.2%

Value	Count	Frequency (%)
479	1	0.1%
478	2	0.2%
476	1	0.1%
475	2	0.2%
472	1	0.1%
468	1	0.1%
465	1	0.1%
463	1	0.1%
461	2	0.2%
460	1	0.1%

age
Real number (ℝ)

HIGH CORRELATION

Distinct	45
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.01625

Minimum	20
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	20
5-th percentile	26
Q1	32
median	38.5
Q3	44.25
95-th percentile	57
Maximum	64
Range	44
Interquartile range (IQR)	12.25

Descriptive statistics

Standard deviation	9.1112433
Coefficient of variation (CV)	0.23352432
Kurtosis	-0.25410327
Mean	39.01625
Median Absolute Deviation (MAD)	6.5
Skewness	0.45435178
Sum	31213
Variance	83.014754
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
41	40	5.0%
39	39	4.9%
43	38	4.8%
38	37	4.6%
31	33	4.1%
34	32	4.0%
30	32	4.0%
33	31	3.9%
40	30	3.8%
37	30	3.8%
Other values (35)	458	57.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	1	0.1%
21	6	0.8%
22	1	0.1%
23	5	0.6%
24	9	1.1%
25	11	1.4%
26	19	2.4%
27	20	2.5%
28	25	3.1%
29	28	3.5%

Value	Count	Frequency (%)
64	2	0.2%
63	2	0.2%
62	3	0.4%
61	9	1.1%
60	6	0.8%
59	2	0.2%
58	4	0.5%
57	14	1.8%
56	7	0.9%
55	13	1.6%

policy_number
Real number (ℝ)

UNIQUE

Distinct	800
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	544664.69

Minimum	100804
Maximum	999435
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	100804
5-th percentile	143600.15
Q1	330473
median	533940.5
Q3	757918
95-th percentile	952351.7
Maximum	999435
Range	898631
Interquartile range (IQR)	427445

Descriptive statistics

Standard deviation	257844.8
Coefficient of variation (CV)	0.47340098
Kurtosis	-1.1484346
Mean	544664.69
Median Absolute Deviation (MAD)	218731.5
Skewness	0.028276243
Sum	4.3573176 × 10⁸
Variance	6.648394 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
669501	1	0.1%
599174	1	0.1%
913337	1	0.1%
118236	1	0.1%
283414	1	0.1%
307447	1	0.1%
542245	1	0.1%
458829	1	0.1%
587498	1	0.1%
844007	1	0.1%
Other values (790)	790	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100804	1	0.1%
104594	1	0.1%
106186	1	0.1%
107181	1	0.1%
108270	1	0.1%
108844	1	0.1%
109392	1	0.1%
110084	1	0.1%
110122	1	0.1%
110143	1	0.1%

Value	Count	Frequency (%)
999435	1	0.1%
998192	1	0.1%
996850	1	0.1%
996253	1	0.1%
994538	1	0.1%
993840	1	0.1%
992145	1	0.1%
990998	1	0.1%
990493	1	0.1%
987524	1	0.1%

policy_deductable
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	53.6 KiB

500	277
1000	268
2000	255

Length

Max length	4
Median length	4
Mean length	3.65375
Min length	3

Characters and Unicode

Total characters	2923
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	500
2nd row	2000
3rd row	500
4th row	500
5th row	1000

Common Values

Value	Count	Frequency (%)
500	277	34.6%
1000	268	33.5%
2000	255	31.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
500	277	34.6%
1000	268	33.5%
2000	255	31.9%

Most occurring characters

Value	Count	Frequency (%)
0	2123	72.6%
5	277	9.5%
1	268	9.2%
2	255	8.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2923	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2123	72.6%
5	277	9.5%
1	268	9.2%
2	255	8.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	2923	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2123	72.6%
5	277	9.5%
1	268	9.2%
2	255	8.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2923	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2123	72.6%
5	277	9.5%
1	268	9.2%
2	255	8.7%

policy_annual_premium
Real number (ℝ)

Distinct	528
Distinct (%)	66.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1257.7175

Minimum	433
Maximum	2047
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	433
5-th percentile	862
Q1	1097
median	1265
Q3	1406
95-th percentile	1655.45
Maximum	2047
Range	1614
Interquartile range (IQR)	309

Descriptive statistics

Standard deviation	241.70324
Coefficient of variation (CV)	0.1921761
Kurtosis	0.18112122
Mean	1257.7175
Median Absolute Deviation (MAD)	155.5
Skewness	0.019515483
Sum	1006174
Variance	58420.456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1124	6	0.8%
1281	6	0.8%
1270	4	0.5%
1255	4	0.5%
1338	4	0.5%
1238	4	0.5%
1074	4	0.5%
1141	4	0.5%
1257	4	0.5%
1362	4	0.5%
Other values (518)	756	94.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
433	1	0.1%
484	1	0.1%
538	1	0.1%
617	1	0.1%
625	1	0.1%
664	1	0.1%
671	1	0.1%
708	1	0.1%
719	1	0.1%
722	1	0.1%

Value	Count	Frequency (%)
2047	1	0.1%
1969	1	0.1%
1935	1	0.1%
1927	1	0.1%
1922	1	0.1%
1878	1	0.1%
1865	1	0.1%
1863	1	0.1%
1861	1	0.1%
1848	1	0.1%

umbrella_limit
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1077500

Minimum	-1000000
Maximum	10000000
Zeros	639
Zeros (%)	79.9%
Negative	1
Negative (%)	0.1%
Memory size	12.5 KiB

Quantile statistics

Minimum	-1000000
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	6000000
Maximum	10000000
Range	11000000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2257291.1
Coefficient of variation (CV)	2.0949337
Kurtosis	1.7839612
Mean	1077500
Median Absolute Deviation (MAD)	0
Skewness	1.8114171
Sum	8.62 × 10⁸
Variance	5.095363 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	639	79.9%
6000000	46	5.8%
5000000	34	4.2%
4000000	33	4.1%
7000000	23	2.9%
3000000	11	1.4%
8000000	6	0.8%
9000000	3	0.4%
2000000	3	0.4%
-1000000	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1000000	1	0.1%
0	639	79.9%
2000000	3	0.4%
3000000	11	1.4%
4000000	33	4.1%
5000000	34	4.2%
6000000	46	5.8%
7000000	23	2.9%
8000000	6	0.8%
9000000	3	0.4%

Value	Count	Frequency (%)
10000000	1	0.1%
9000000	3	0.4%
8000000	6	0.8%
7000000	23	2.9%
6000000	46	5.8%
5000000	34	4.2%
4000000	33	4.1%
3000000	11	1.4%
2000000	3	0.4%
0	639	79.9%

insured_zip
Real number (ℝ)

Distinct	796
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	502376.07

Minimum	430104
Maximum	620962
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	430104
5-th percentile	433143.95
Q1	448692.25
median	466704.5
Q3	603417.5
95-th percentile	617721.9
Maximum	620962
Range	190858
Interquartile range (IQR)	154725.25

Descriptive statistics

Standard deviation	72297.681
Coefficient of variation (CV)	0.14391147
Kurtosis	-1.2617147
Mean	502376.07
Median Absolute Deviation (MAD)	23117
Skewness	0.77465227
Sum	4.0190086 × 10⁸
Variance	5.2269546 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
469429	2	0.2%
477695	2	0.2%
431202	2	0.2%
456602	2	0.2%
449421	1	0.1%
613945	1	0.1%
432896	1	0.1%
603248	1	0.1%
462377	1	0.1%
602670	1	0.1%
Other values (786)	786	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
430104	1	0.1%
430141	1	0.1%
430232	1	0.1%
430380	1	0.1%
430567	1	0.1%
430621	1	0.1%
430632	1	0.1%
430665	1	0.1%
430714	1	0.1%
430832	1	0.1%

Value	Count	Frequency (%)
620962	1	0.1%
620869	1	0.1%
620819	1	0.1%
620757	1	0.1%
620737	1	0.1%
620507	1	0.1%
620493	1	0.1%
620473	1	0.1%
620207	1	0.1%
620197	1	0.1%

capital-gains
Real number (ℝ)

ZEROS

Distinct	285
Distinct (%)	35.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24541.625

Minimum	0
Maximum	100500
Zeros	414
Zeros (%)	51.7%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	50400
95-th percentile	69520
Maximum	100500
Range	100500
Interquartile range (IQR)	50400

Descriptive statistics

Standard deviation	27683
Coefficient of variation (CV)	1.1280019
Kurtosis	-1.2473234
Mean	24541.625
Median Absolute Deviation (MAD)	0
Skewness	0.5069596
Sum	19633300
Variance	7.6634852 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	414	51.7%
68500	4	0.5%
51500	4	0.5%
63100	3	0.4%
51100	3	0.4%
45700	3	0.4%
58500	3	0.4%
46300	3	0.4%
45500	3	0.4%
59600	3	0.4%
Other values (275)	357	44.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	414	51.7%
800	1	0.1%
10000	1	0.1%
11000	1	0.1%
12100	1	0.1%
13100	1	0.1%
14100	1	0.1%
16100	1	0.1%
17600	1	0.1%
20200	1	0.1%

Value	Count	Frequency (%)
100500	1	0.1%
98800	1	0.1%
94800	1	0.1%
91900	1	0.1%
90700	1	0.1%
88400	1	0.1%
87800	1	0.1%
84900	1	0.1%
83900	1	0.1%
82600	1	0.1%

capital-loss
Real number (ℝ)

ZEROS

Distinct	305
Distinct (%)	38.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-26499.875

Minimum	-111100
Maximum	0
Zeros	383
Zeros (%)	47.9%
Negative	417
Negative (%)	52.1%
Memory size	9.4 KiB

Quantile statistics

Minimum	-111100
5-th percentile	-72005
Q1	-51025
median	-21200
Q3	0
95-th percentile	0
Maximum	0
Range	111100
Interquartile range (IQR)	51025

Descriptive statistics

Standard deviation	27953.003
Coefficient of variation (CV)	-1.0548353
Kurtosis	-1.2917047
Mean	-26499.875
Median Absolute Deviation (MAD)	21200
Skewness	-0.40163292
Sum	-21199900
Variance	7.8137038 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	383	47.9%
-51000	4	0.5%
-32800	4	0.5%
-53800	4	0.5%
-50300	4	0.5%
-53700	4	0.5%
-64500	3	0.4%
-45800	3	0.4%
-45300	3	0.4%
-61000	3	0.4%
Other values (295)	385	48.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-111100	1	0.1%
-91400	1	0.1%
-91200	1	0.1%
-90600	1	0.1%
-90200	1	0.1%
-90100	1	0.1%
-89400	1	0.1%
-88300	1	0.1%
-87300	1	0.1%
-83200	1	0.1%

Value	Count	Frequency (%)
0	383	47.9%
-5700	1	0.1%
-6300	1	0.1%
-8500	1	0.1%
-10600	1	0.1%
-13200	1	0.1%
-13800	1	0.1%
-15600	1	0.1%
-15700	2	0.2%
-15900	1	0.1%

incident_hour_of_the_day
Real number (ℝ)

ZEROS

Distinct	24
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.56875

Minimum	0
Maximum	23
Zeros	43
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	6
median	12
Q3	17
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	6.9039738
Coefficient of variation (CV)	0.59677786
Kurtosis	-1.1734177
Mean	11.56875
Median Absolute Deviation (MAD)	6
Skewness	-0.016720534
Sum	9255
Variance	47.664855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	43	5.4%
3	43	5.4%
23	42	5.2%
10	41	5.1%
16	40	5.0%
9	39	4.9%
17	39	4.9%
6	38	4.8%
21	36	4.5%
13	36	4.5%
Other values (14)	403	50.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	43	5.4%
1	22	2.8%
2	23	2.9%
3	43	5.4%
4	35	4.4%
5	24	3.0%
6	38	4.8%
7	35	4.4%
8	29	3.6%
9	39	4.9%

Value	Count	Frequency (%)
23	42	5.2%
22	23	2.9%
21	36	4.5%
20	26	3.2%
19	34	4.2%
18	35	4.4%
17	39	4.9%
16	40	5.0%
15	29	3.6%
14	34	4.2%

number_of_vehicles_involved
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	51.6 KiB

1	466
3	286
4	25
2	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	800
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	1
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
1	466	58.2%
3	286	35.8%
4	25	3.1%
2	23	2.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	466	58.2%
3	286	35.8%
4	25	3.1%
2	23	2.9%

Most occurring characters

Value	Count	Frequency (%)
1	466	58.2%
3	286	35.8%
4	25	3.1%
2	23	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	800	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	466	58.2%
3	286	35.8%
4	25	3.1%
2	23	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	466	58.2%
3	286	35.8%
4	25	3.1%
2	23	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	466	58.2%
3	286	35.8%
4	25	3.1%
2	23	2.9%

bodily_injuries
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	51.6 KiB

0	276
2	272
1	252

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	800
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	2
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	276	34.5%
2	272	34.0%
1	252	31.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	276	34.5%
2	272	34.0%
1	252	31.5%

Most occurring characters

Value	Count	Frequency (%)
0	276	34.5%
2	272	34.0%
1	252	31.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	800	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	276	34.5%
2	272	34.0%
1	252	31.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	276	34.5%
2	272	34.0%
1	252	31.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	276	34.5%
2	272	34.0%
1	252	31.5%

witnesses
Categorical

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	51.6 KiB

1	208
2	204
0	196
3	192

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	800
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	3
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	208	26.0%
2	204	25.5%
0	196	24.5%
3	192	24.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	208	26.0%
2	204	25.5%
0	196	24.5%
3	192	24.0%

Most occurring characters

Value	Count	Frequency (%)
1	208	26.0%
2	204	25.5%
0	196	24.5%
3	192	24.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	800	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	208	26.0%
2	204	25.5%
0	196	24.5%
3	192	24.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	208	26.0%
2	204	25.5%
0	196	24.5%
3	192	24.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	208	26.0%
2	204	25.5%
0	196	24.5%
3	192	24.0%

total_claim_amount
Real number (ℝ)

HIGH CORRELATION

Distinct	639
Distinct (%)	79.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52173.8

Minimum	1920
Maximum	114920
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	1920
5-th percentile	4300
Q1	39950
median	57700
Q3	70425
95-th percentile	90012
Maximum	114920
Range	113000
Interquartile range (IQR)	30475

Descriptive statistics

Standard deviation	27072.205
Coefficient of variation (CV)	0.51888506
Kurtosis	-0.57864658
Mean	52173.8
Median Absolute Deviation (MAD)	14830
Skewness	-0.52770402
Sum	41739040
Variance	7.3290431 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58500	4	0.5%
3190	4	0.5%
70400	4	0.5%
59400	4	0.5%
44200	4	0.5%
4700	3	0.4%
5000	3	0.4%
64080	3	0.4%
64800	3	0.4%
5060	3	0.4%
Other values (629)	765	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1920	1	0.1%
2160	1	0.1%
2250	1	0.1%
2400	1	0.1%
2520	1	0.1%
2640	3	0.4%
2700	1	0.1%
2800	1	0.1%
2860	1	0.1%
2970	1	0.1%

Value	Count	Frequency (%)
114920	1	0.1%
112320	1	0.1%
108480	1	0.1%
108030	1	0.1%
107900	1	0.1%
105820	1	0.1%
105040	1	0.1%
104610	1	0.1%
101860	1	0.1%
101010	1	0.1%

injury_claim
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	552
Distinct (%)	69.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7373.5625

Minimum	0
Maximum	21450
Zeros	18
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	460
Q1	4065
median	6675
Q3	11330
95-th percentile	15786
Maximum	21450
Range	21450
Interquartile range (IQR)	7265

Descriptive statistics

Standard deviation	4947.4594
Coefficient of variation (CV)	0.67097273
Kurtosis	-0.76629945
Mean	7373.5625
Median Absolute Deviation (MAD)	3905
Skewness	0.29576017
Sum	5898850
Variance	24477354
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	18	2.2%
640	6	0.8%
480	6	0.8%
1180	5	0.6%
860	5	0.6%
5540	5	0.6%
780	5	0.6%
660	5	0.6%
580	5	0.6%
6340	5	0.6%
Other values (542)	735	91.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18	2.2%
220	1	0.1%
250	1	0.1%
280	2	0.2%
290	1	0.1%
300	2	0.2%
330	2	0.2%
360	1	0.1%
390	1	0.1%
400	2	0.2%

Value	Count	Frequency (%)
21450	1	0.1%
21330	1	0.1%
20700	1	0.1%
19020	1	0.1%
18520	1	0.1%
18220	1	0.1%
18180	1	0.1%
18080	1	0.1%
18000	1	0.1%
17880	1	0.1%

property_claim
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	540
Distinct (%)	67.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7324.225

Minimum	0
Maximum	23670
Zeros	16
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	449.5
Q1	4270
median	6700
Q3	10940
95-th percentile	15561
Maximum	23670
Range	23670
Interquartile range (IQR)	6670

Descriptive statistics

Standard deviation	4890.63
Coefficient of variation (CV)	0.66773344
Kurtosis	-0.42559132
Mean	7324.225
Median Absolute Deviation (MAD)	3565
Skewness	0.39144091
Sum	5859380
Variance	23918261
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	16	2.0%
11080	5	0.6%
10000	5	0.6%
860	5	0.6%
6340	4	0.5%
660	4	0.5%
4420	4	0.5%
480	4	0.5%
590	4	0.5%
780	4	0.5%
Other values (530)	745	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	2.0%
240	1	0.1%
250	1	0.1%
260	1	0.1%
280	3	0.4%
290	2	0.2%
300	2	0.2%
320	3	0.4%
330	1	0.1%
380	1	0.1%

Value	Count	Frequency (%)
23670	1	0.1%
21810	1	0.1%
21580	1	0.1%
21240	1	0.1%
20550	1	0.1%
20310	1	0.1%
19650	1	0.1%
19470	1	0.1%
19260	1	0.1%
19200	1	0.1%

vehicle_claim
Real number (ℝ)

HIGH CORRELATION

Distinct	618
Distinct (%)	77.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37476.012

Minimum	1440
Maximum	79560
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	1440
5-th percentile	2968.5
Q1	28980
median	41760
Q3	50762.5
95-th percentile	63457.5
Maximum	79560
Range	78120
Interquartile range (IQR)	21782.5

Descriptive statistics

Standard deviation	19309.208
Coefficient of variation (CV)	0.5152418
Kurtosis	-0.56224385
Mean	37476.012
Median Absolute Deviation (MAD)	10065
Skewness	-0.56298867
Sum	29980810
Variance	3.7284551 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5040	6	0.8%
44800	5	0.6%
4720	5	0.6%
33600	5	0.6%
3360	5	0.6%
52080	4	0.5%
41760	4	0.5%
35000	4	0.5%
46160	3	0.4%
2730	3	0.4%
Other values (608)	756	94.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1440	2	0.2%
1680	2	0.2%
1750	1	0.1%
1800	1	0.1%
1960	2	0.2%
1980	1	0.1%
2030	1	0.1%
2080	1	0.1%
2100	2	0.2%
2240	3	0.4%

Value	Count	Frequency (%)
79560	1	0.1%
77760	1	0.1%
77670	1	0.1%
76400	1	0.1%
76000	1	0.1%
75600	1	0.1%
75530	1	0.1%
74790	1	0.1%
73620	1	0.1%
73260	1	0.1%

auto_year
Real number (ℝ)

Distinct	21
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2005.005

Minimum	1995
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.5 KiB

Quantile statistics

Minimum	1995
5-th percentile	1995
Q1	2000
median	2005
Q3	2010
95-th percentile	2014
Maximum	2015
Range	20
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.9309734
Coefficient of variation (CV)	0.0029580841
Kurtosis	-1.1184591
Mean	2005.005
Median Absolute Deviation (MAD)	5
Skewness	0.0014939354
Sum	1604004
Variance	35.176446
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
2003	48	6.0%
2007	47	5.9%
2005	45	5.6%
1999	44	5.5%
2006	42	5.2%
1995	42	5.2%
2002	41	5.1%
2015	39	4.9%
2009	38	4.8%
2010	37	4.6%
Other values (11)	377	47.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1995	42	5.2%
1996	32	4.0%
1997	29	3.6%
1998	36	4.5%
1999	44	5.5%
2000	34	4.2%
2001	36	4.5%
2002	41	5.1%
2003	48	6.0%
2004	34	4.2%

Value	Count	Frequency (%)
2015	39	4.9%
2014	34	4.2%
2013	37	4.6%
2012	34	4.2%
2011	37	4.6%
2010	37	4.6%
2009	38	4.8%
2008	34	4.2%
2007	47	5.9%
2006	42	5.2%

policy_state
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	52.3 KiB

OH	282
IL	265
IN	253

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1600
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IN
2nd row	IN
3rd row	IN
4th row	OH
5th row	OH

Common Values

Value	Count	Frequency (%)
OH	282	35.2%
IL	265	33.1%
IN	253	31.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
oh	282	35.2%
il	265	33.1%
in	253	31.6%

Most occurring characters

Value	Count	Frequency (%)
I	518	32.4%
O	282	17.6%
H	282	17.6%
L	265	16.6%
N	253	15.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1600	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	518	32.4%
O	282	17.6%
H	282	17.6%
L	265	16.6%
N	253	15.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1600	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	518	32.4%
O	282	17.6%
H	282	17.6%
L	265	16.6%
N	253	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	518	32.4%
O	282	17.6%
H	282	17.6%
L	265	16.6%
N	253	15.8%

policy_csl
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	56.5 KiB

250/500	286
100/300	274
500/1000	240

Length

Max length	8
Median length	7
Mean length	7.3
Min length	7

Characters and Unicode

Total characters	5840
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	250/500
2nd row	500/1000
3rd row	100/300
4th row	500/1000
5th row	100/300

Common Values

Value	Count	Frequency (%)
250/500	286	35.8%
100/300	274	34.2%
500/1000	240	30.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
250/500	286	35.8%
100/300	274	34.2%
500/1000	240	30.0%

Most occurring characters

Value	Count	Frequency (%)
0	3154	54.0%
5	812	13.9%
/	800	13.7%
1	514	8.8%
2	286	4.9%
3	274	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5040	86.3%
Other Punctuation	800	13.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3154	62.6%
5	812	16.1%
1	514	10.2%
2	286	5.7%
3	274	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5840	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3154	54.0%
5	812	13.9%
/	800	13.7%
1	514	8.8%
2	286	4.9%
3	274	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5840	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3154	54.0%
5	812	13.9%
/	800	13.7%
1	514	8.8%
2	286	4.9%
3	274	4.7%

insured_sex
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	54.7 KiB

FEMALE	426
MALE	374

Length

Max length	6
Median length	6
Mean length	5.065
Min length	4

Characters and Unicode

Total characters	4052
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MALE
2nd row	FEMALE
3rd row	MALE
4th row	FEMALE
5th row	MALE

Common Values

Value	Count	Frequency (%)
FEMALE	426	53.2%
MALE	374	46.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	426	53.2%
male	374	46.8%

Most occurring characters

Value	Count	Frequency (%)
E	1226	30.3%
M	800	19.7%
A	800	19.7%
L	800	19.7%
F	426	10.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4052	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	1226	30.3%
M	800	19.7%
A	800	19.7%
L	800	19.7%
F	426	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4052	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	1226	30.3%
M	800	19.7%
A	800	19.7%
L	800	19.7%
F	426	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4052	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	1226	30.3%
M	800	19.7%
A	800	19.7%
L	800	19.7%
F	426	10.5%

insured_hobbies
Categorical

Distinct	20
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	57.1 KiB

reading	54
paintball	52
kayaking	46
movies	46
golf	44
Other values (15)	558

Length

Max length	14
Median length	11
Mean length	8.095
Min length	4

Characters and Unicode

Total characters	6476
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	exercise
2nd row	camping
3rd row	reading
4th row	basketball
5th row	basketball

Common Values

Value	Count	Frequency (%)
reading	54	6.8%
paintball	52	6.5%
kayaking	46	5.8%
movies	46	5.8%
golf	44	5.5%
bungie-jumping	44	5.5%
skydiving	43	5.4%
exercise	42	5.2%
base-jumping	40	5.0%
yachting	39	4.9%
Other values (10)	350	43.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
reading	54	6.8%
paintball	52	6.5%
kayaking	46	5.8%
movies	46	5.8%
golf	44	5.5%
bungie-jumping	44	5.5%
skydiving	43	5.4%
exercise	42	5.2%
base-jumping	40	5.0%
hiking	39	4.9%
Other values (10)	350	43.8%

Most occurring characters

Value	Count	Frequency (%)
i	747	11.5%
g	576	8.9%
a	565	8.7%
n	550	8.5%
e	548	8.5%
s	433	6.7%
l	267	4.1%
o	265	4.1%
p	244	3.8%
m	242	3.7%
Other values (14)	2039	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6291	97.1%
Dash Punctuation	185	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	747	11.9%
g	576	9.2%
a	565	9.0%
n	550	8.7%
e	548	8.7%
s	433	6.9%
l	267	4.2%
o	265	4.2%
p	244	3.9%
m	242	3.8%
Other values (13)	1854	29.5%

Dash Punctuation

Value	Count	Frequency (%)
-	185	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6291	97.1%
Common	185	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	747	11.9%
g	576	9.2%
a	565	9.0%
n	550	8.7%
e	548	8.7%
s	433	6.9%
l	267	4.2%
o	265	4.2%
p	244	3.9%
m	242	3.8%
Other values (13)	1854	29.5%

Common

Value	Count	Frequency (%)
-	185	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6476	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	747	11.5%
g	576	8.9%
a	565	8.7%
n	550	8.5%
e	548	8.5%
s	433	6.7%
l	267	4.1%
o	265	4.1%
p	244	3.8%
m	242	3.7%
Other values (14)	2039	31.5%

incident_type
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	67.3 KiB

Multi-vehicle Collision	334
Single Vehicle Collision	314
Parked Car	77
Vehicle Theft	75

Length

Max length	24
Median length	23
Mean length	21.20375
Min length	10

Characters and Unicode

Total characters	16963
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parked Car
2nd row	Multi-vehicle Collision
3rd row	Single Vehicle Collision
4th row	Multi-vehicle Collision
5th row	Single Vehicle Collision

Common Values

Value	Count	Frequency (%)
Multi-vehicle Collision	334	41.8%
Single Vehicle Collision	314	39.2%
Parked Car	77	9.6%
Vehicle Theft	75	9.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
collision	648	33.9%
vehicle	389	20.3%
multi-vehicle	334	17.5%
single	314	16.4%
parked	77	4.0%
car	77	4.0%
theft	75	3.9%

Most occurring characters

Value	Count	Frequency (%)
l	2667	15.7%
i	2667	15.7%
e	1912	11.3%
o	1296	7.6%
	1114	6.6%
n	962	5.7%
h	798	4.7%
C	725	4.3%
c	723	4.3%
s	648	3.8%
Other values (15)	3451	20.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13601	80.2%
Uppercase Letter	1914	11.3%
Space Separator	1114	6.6%
Dash Punctuation	334	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	2667	19.6%
i	2667	19.6%
e	1912	14.1%
o	1296	9.5%
n	962	7.1%
h	798	5.9%
c	723	5.3%
s	648	4.8%
t	409	3.0%
u	334	2.5%
Other values (7)	1185	8.7%

Uppercase Letter

Value	Count	Frequency (%)
C	725	37.9%
V	389	20.3%
M	334	17.5%
S	314	16.4%
P	77	4.0%
T	75	3.9%

Space Separator

Value	Count	Frequency (%)
	1114	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	334	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15515	91.5%
Common	1448	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	2667	17.2%
i	2667	17.2%
e	1912	12.3%
o	1296	8.4%
n	962	6.2%
h	798	5.1%
C	725	4.7%
c	723	4.7%
s	648	4.2%
t	409	2.6%
Other values (13)	2708	17.5%

Common

Value	Count	Frequency (%)
	1114	76.9%
-	334	23.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16963	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	2667	15.7%
i	2667	15.7%
e	1912	11.3%
o	1296	7.6%
	1114	6.6%
n	962	5.7%
h	798	4.7%
C	725	4.3%
c	723	4.3%
s	648	3.8%
Other values (15)	3451	20.3%

collision_type
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	60.9 KiB

Rear Collision	232
Side Collision	212
Front Collision	204
UNKNOWN	152

Length

Max length	15
Median length	14
Mean length	12.925
Min length	7

Characters and Unicode

Total characters	10340
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UNKNOWN
2nd row	Side Collision
3rd row	Rear Collision
4th row	Side Collision
5th row	Rear Collision

Common Values

Value	Count	Frequency (%)
Rear Collision	232	29.0%
Side Collision	212	26.5%
Front Collision	204	25.5%
UNKNOWN	152	19.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
collision	648	44.8%
rear	232	16.0%
side	212	14.6%
front	204	14.1%
unknown	152	10.5%

Most occurring characters

Value	Count	Frequency (%)
i	1508	14.6%
o	1500	14.5%
l	1296	12.5%
n	852	8.2%
	648	6.3%
C	648	6.3%
s	648	6.3%
N	456	4.4%
e	444	4.3%
r	436	4.2%
Other values (10)	1904	18.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7332	70.9%
Uppercase Letter	2360	22.8%
Space Separator	648	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1508	20.6%
o	1500	20.5%
l	1296	17.7%
n	852	11.6%
s	648	8.8%
e	444	6.1%
r	436	5.9%
a	232	3.2%
d	212	2.9%
t	204	2.8%

Uppercase Letter

Value	Count	Frequency (%)
C	648	27.5%
N	456	19.3%
R	232	9.8%
S	212	9.0%
F	204	8.6%
U	152	6.4%
K	152	6.4%
O	152	6.4%
W	152	6.4%

Space Separator

Value	Count	Frequency (%)
	648	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9692	93.7%
Common	648	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1508	15.6%
o	1500	15.5%
l	1296	13.4%
n	852	8.8%
C	648	6.7%
s	648	6.7%
N	456	4.7%
e	444	4.6%
r	436	4.5%
R	232	2.4%
Other values (9)	1672	17.3%

Common

Value	Count	Frequency (%)
	648	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10340	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1508	14.6%
o	1500	14.5%
l	1296	12.5%
n	852	8.2%
	648	6.3%
C	648	6.3%
s	648	6.3%
N	456	4.4%
e	444	4.3%
r	436	4.2%
Other values (10)	1904	18.4%

incident_severity
Categorical

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	59.9 KiB

Minor Damage	281
Total Loss	225
Major Damage	219
Trivial Damage	75

Length

Max length	14
Median length	12
Mean length	11.625
Min length	10

Characters and Unicode

Total characters	9300
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Minor Damage
2nd row	Total Loss
3rd row	Major Damage
4th row	Major Damage
5th row	Total Loss

Common Values

Value	Count	Frequency (%)
Minor Damage	281	35.1%
Total Loss	225	28.1%
Major Damage	219	27.4%
Trivial Damage	75	9.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
damage	575	35.9%
minor	281	17.6%
total	225	14.1%
loss	225	14.1%
major	219	13.7%
trivial	75	4.7%

Most occurring characters

Value	Count	Frequency (%)
a	1669	17.9%
o	950	10.2%
	800	8.6%
g	575	6.2%
m	575	6.2%
e	575	6.2%
r	575	6.2%
D	575	6.2%
M	500	5.4%
s	450	4.8%
Other values (8)	2056	22.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6900	74.2%
Uppercase Letter	1600	17.2%
Space Separator	800	8.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1669	24.2%
o	950	13.8%
g	575	8.3%
m	575	8.3%
e	575	8.3%
r	575	8.3%
s	450	6.5%
i	431	6.2%
l	300	4.3%
n	281	4.1%
Other values (3)	519	7.5%

Uppercase Letter

Value	Count	Frequency (%)
D	575	35.9%
M	500	31.2%
T	300	18.8%
L	225	14.1%

Space Separator

Value	Count	Frequency (%)
	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8500	91.4%
Common	800	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1669	19.6%
o	950	11.2%
g	575	6.8%
m	575	6.8%
e	575	6.8%
r	575	6.8%
D	575	6.8%
M	500	5.9%
s	450	5.3%
i	431	5.1%
Other values (7)	1625	19.1%

Common

Value	Count	Frequency (%)
	800	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9300	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1669	17.9%
o	950	10.2%
	800	8.6%
g	575	6.2%
m	575	6.2%
e	575	6.2%
r	575	6.2%
D	575	6.2%
M	500	5.4%
s	450	4.8%
Other values (8)	2056	22.1%

authorities_contacted
Categorical

Distinct	5
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	55.3 KiB

Police	235
Fire	173
Other	156
Ambulance	154
None	82

Length

Max length	9
Median length	6
Mean length	5.745
Min length	4

Characters and Unicode

Total characters	4596
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	Ambulance
3rd row	Ambulance
4th row	Police
5th row	Other

Common Values

Value	Count	Frequency (%)
Police	235	29.4%
Fire	173	21.6%
Other	156	19.5%
Ambulance	154	19.2%
None	82	10.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
police	235	29.4%
fire	173	21.6%
other	156	19.5%
ambulance	154	19.2%
none	82	10.2%

Most occurring characters

Value	Count	Frequency (%)
e	800	17.4%
i	408	8.9%
l	389	8.5%
c	389	8.5%
r	329	7.2%
o	317	6.9%
n	236	5.1%
P	235	5.1%
F	173	3.8%
h	156	3.4%
Other values (8)	1164	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3796	82.6%
Uppercase Letter	800	17.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	800	21.1%
i	408	10.7%
l	389	10.2%
c	389	10.2%
r	329	8.7%
o	317	8.4%
n	236	6.2%
h	156	4.1%
t	156	4.1%
m	154	4.1%
Other values (3)	462	12.2%

Uppercase Letter

Value	Count	Frequency (%)
P	235	29.4%
F	173	21.6%
O	156	19.5%
A	154	19.2%
N	82	10.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4596	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	800	17.4%
i	408	8.9%
l	389	8.5%
c	389	8.5%
r	329	7.2%
o	317	6.9%
n	236	5.1%
P	235	5.1%
F	173	3.8%
h	156	3.4%
Other values (8)	1164	25.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4596	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	800	17.4%
i	408	8.9%
l	389	8.5%
c	389	8.5%
r	329	7.2%
o	317	6.9%
n	236	5.1%
P	235	5.1%
F	173	3.8%
h	156	3.4%
Other values (8)	1164	25.3%

incident_state
Categorical

Distinct	7
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	52.3 KiB

NY	205
SC	194
WV	174
NC	94
VA	87
Other values (2)	46

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1600
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VA
2nd row	VA
3rd row	NY
4th row	WV
5th row	WV

Common Values

Value	Count	Frequency (%)
NY	205	25.6%
SC	194	24.2%
WV	174	21.8%
NC	94	11.8%
VA	87	10.9%
PA	28	3.5%
OH	18	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ny	205	25.6%
sc	194	24.2%
wv	174	21.8%
nc	94	11.8%
va	87	10.9%
pa	28	3.5%
oh	18	2.2%

Most occurring characters

Value	Count	Frequency (%)
N	299	18.7%
C	288	18.0%
V	261	16.3%
Y	205	12.8%
S	194	12.1%
W	174	10.9%
A	115	7.2%
P	28	1.8%
O	18	1.1%
H	18	1.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1600	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	299	18.7%
C	288	18.0%
V	261	16.3%
Y	205	12.8%
S	194	12.1%
W	174	10.9%
A	115	7.2%
P	28	1.8%
O	18	1.1%
H	18	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1600	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	299	18.7%
C	288	18.0%
V	261	16.3%
Y	205	12.8%
S	194	12.1%
W	174	10.9%
A	115	7.2%
P	28	1.8%
O	18	1.1%
H	18	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	299	18.7%
C	288	18.0%
V	261	16.3%
Y	205	12.8%
S	194	12.1%
W	174	10.9%
A	115	7.2%
P	28	1.8%
O	18	1.1%
H	18	1.1%

incident_city
Categorical

Distinct	7
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	58.0 KiB

Springfield	127
Arlington	122
Columbus	119
Hillsdale	118
Northbend	113
Other values (2)	201

Length

Max length	11
Median length	9
Mean length	9.2825
Min length	8

Characters and Unicode

Total characters	7426
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Arlington
2nd row	Northbend
3rd row	Hillsdale
4th row	Northbrook
5th row	Riverwood

Common Values

Value	Count	Frequency (%)
Springfield	127	15.9%
Arlington	122	15.2%
Columbus	119	14.9%
Hillsdale	118	14.8%
Northbend	113	14.1%
Riverwood	110	13.8%
Northbrook	91	11.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
springfield	127	15.9%
arlington	122	15.2%
columbus	119	14.9%
hillsdale	118	14.8%
northbend	113	14.1%
riverwood	110	13.8%
northbrook	91	11.4%

Most occurring characters

Value	Count	Frequency (%)
o	847	11.4%
l	722	9.7%
r	654	8.8%
i	604	8.1%
n	484	6.5%
d	468	6.3%
e	468	6.3%
t	326	4.4%
b	323	4.3%
g	249	3.4%
Other values (16)	2281	30.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6626	89.2%
Uppercase Letter	800	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	847	12.8%
l	722	10.9%
r	654	9.9%
i	604	9.1%
n	484	7.3%
d	468	7.1%
e	468	7.1%
t	326	4.9%
b	323	4.9%
g	249	3.8%
Other values (10)	1481	22.4%

Uppercase Letter

Value	Count	Frequency (%)
N	204	25.5%
S	127	15.9%
A	122	15.2%
C	119	14.9%
H	118	14.8%
R	110	13.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7426	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	847	11.4%
l	722	9.7%
r	654	8.8%
i	604	8.1%
n	484	6.5%
d	468	6.3%
e	468	6.3%
t	326	4.4%
b	323	4.3%
g	249	3.4%
Other values (16)	2281	30.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7426	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	847	11.4%
l	722	9.7%
r	654	8.8%
i	604	8.1%
n	484	6.5%
d	468	6.3%
e	468	6.3%
t	326	4.4%
b	323	4.3%
g	249	3.4%
Other values (16)	2281	30.7%

property_damage
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	54.0 KiB

UNKNOWN	286
NO	282
YES	232

Length

Max length	7
Median length	3
Mean length	4.0775
Min length	2

Characters and Unicode

Total characters	3262
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NO
2nd row	YES
3rd row	UNKNOWN
4th row	UNKNOWN
5th row	NO

Common Values

Value	Count	Frequency (%)
UNKNOWN	286	35.8%
NO	282	35.2%
YES	232	29.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	286	35.8%
no	282	35.2%
yes	232	29.0%

Most occurring characters

Value	Count	Frequency (%)
N	1140	34.9%
O	568	17.4%
U	286	8.8%
K	286	8.8%
W	286	8.8%
Y	232	7.1%
E	232	7.1%
S	232	7.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3262	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	1140	34.9%
O	568	17.4%
U	286	8.8%
K	286	8.8%
W	286	8.8%
Y	232	7.1%
E	232	7.1%
S	232	7.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3262	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	1140	34.9%
O	568	17.4%
U	286	8.8%
K	286	8.8%
W	286	8.8%
Y	232	7.1%
E	232	7.1%
S	232	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3262	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	1140	34.9%
O	568	17.4%
U	286	8.8%
K	286	8.8%
W	286	8.8%
Y	232	7.1%
E	232	7.1%
S	232	7.1%

police_report_available
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	53.9 KiB

NO	278
UNKNOWN	268
YES	254

Length

Max length	7
Median length	3
Mean length	3.9925
Min length	2

Characters and Unicode

Total characters	3194
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NO
2nd row	UNKNOWN
3rd row	UNKNOWN
4th row	UNKNOWN
5th row	NO

Common Values

Value	Count	Frequency (%)
NO	278	34.8%
UNKNOWN	268	33.5%
YES	254	31.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	278	34.8%
unknown	268	33.5%
yes	254	31.8%

Most occurring characters

Value	Count	Frequency (%)
N	1082	33.9%
O	546	17.1%
U	268	8.4%
K	268	8.4%
W	268	8.4%
Y	254	8.0%
E	254	8.0%
S	254	8.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3194	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	1082	33.9%
O	546	17.1%
U	268	8.4%
K	268	8.4%
W	268	8.4%
Y	254	8.0%
E	254	8.0%
S	254	8.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3194	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	1082	33.9%
O	546	17.1%
U	268	8.4%
K	268	8.4%
W	268	8.4%
Y	254	8.0%
E	254	8.0%
S	254	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3194	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	1082	33.9%
O	546	17.1%
U	268	8.4%
K	268	8.4%
W	268	8.4%
Y	254	8.0%
E	254	8.0%
S	254	8.0%

auto_make
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	55.2 KiB

Suburu	70
Saab	66
Chevrolet	59
Ford	59
BMW	59
Other values (9)	487

Length

Max length	10
Median length	9
Mean length	5.69875
Min length	3

Characters and Unicode

Total characters	4559
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Honda
2nd row	Accura
3rd row	Mercedes
4th row	Chevrolet
5th row	Accura

Common Values

Value	Count	Frequency (%)
Suburu	70	8.8%
Saab	66	8.2%
Chevrolet	59	7.4%
Ford	59	7.4%
BMW	59	7.4%
Accura	58	7.2%
Audi	57	7.1%
Dodge	57	7.1%
Volkswagen	56	7.0%
Nissan	56	7.0%
Other values (4)	203	25.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
suburu	70	8.8%
saab	66	8.2%
chevrolet	59	7.4%
ford	59	7.4%
bmw	59	7.4%
accura	58	7.2%
audi	57	7.1%
dodge	57	7.1%
volkswagen	56	7.0%
nissan	56	7.0%
Other values (4)	203	25.4%

Most occurring characters

Value	Count	Frequency (%)
e	496	10.9%
a	399	8.8%
o	381	8.4%
u	325	7.1%
r	299	6.6%
d	270	5.9%
s	221	4.8%
c	169	3.7%
n	156	3.4%
S	136	3.0%
Other values (23)	1707	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3641	79.9%
Uppercase Letter	918	20.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	496	13.6%
a	399	11.0%
o	381	10.5%
u	325	8.9%
r	299	8.2%
d	270	7.4%
s	221	6.1%
c	169	4.6%
n	156	4.3%
b	136	3.7%
Other values (10)	789	21.7%

Uppercase Letter

Value	Count	Frequency (%)
S	136	14.8%
A	115	12.5%
M	112	12.2%
W	59	6.4%
B	59	6.4%
F	59	6.4%
C	59	6.4%
D	57	6.2%
V	56	6.1%
N	56	6.1%
Other values (3)	150	16.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4559	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	496	10.9%
a	399	8.8%
o	381	8.4%
u	325	7.1%
r	299	6.6%
d	270	5.9%
s	221	4.8%
c	169	3.7%
n	156	3.4%
S	136	3.0%
Other values (23)	1707	37.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4559	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	496	10.9%
a	399	8.8%
o	381	8.4%
u	325	7.1%
r	299	6.6%
d	270	5.9%
s	221	4.8%
c	169	3.7%
n	156	3.4%
S	136	3.0%
Other values (23)	1707	37.4%

auto_model
Categorical

HIGH CORRELATION

Distinct	39
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

Wrangler	33
A3	32
Jetta	32
MDX	31
RAM	31
Other values (34)	641

Length

Max length	14
Median length	9
Mean length	5.12
Min length	2

Characters and Unicode

Total characters	4096
Distinct characters	52
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Civic
2nd row	MDX
3rd row	E400
4th row	Silverado
5th row	TL

Common Values

Value	Count	Frequency (%)
Wrangler	33	4.1%
A3	32	4.0%
Jetta	32	4.0%
MDX	31	3.9%
RAM	31	3.9%
Legacy	30	3.8%
Neon	26	3.2%
Forrestor	26	3.2%
92x	25	3.1%
A5	25	3.1%
Other values (29)	509	63.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
wrangler	33	4.0%
a3	32	3.8%
jetta	32	3.8%
mdx	31	3.7%
ram	31	3.7%
legacy	30	3.6%
neon	26	3.1%
forrestor	26	3.1%
a5	25	3.0%
92x	25	3.0%
Other values (31)	543	65.1%

Most occurring characters

Value	Count	Frequency (%)
a	381	9.3%
e	339	8.3%
r	309	7.5%
o	191	4.7%
i	180	4.4%
t	153	3.7%
l	139	3.4%
n	133	3.2%
M	133	3.2%
s	125	3.1%
Other values (42)	2013	49.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2624	64.1%
Uppercase Letter	965	23.6%
Decimal Number	473	11.5%
Space Separator	34	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	381	14.5%
e	339	12.9%
r	309	11.8%
o	191	7.3%
i	180	6.9%
t	153	5.8%
l	139	5.3%
n	133	5.1%
s	125	4.8%
c	87	3.3%
Other values (13)	587	22.4%

Uppercase Letter

Value	Count	Frequency (%)
M	133	13.8%
C	103	10.7%
A	98	10.2%
X	74	7.7%
F	66	6.8%
L	63	6.5%
R	58	6.0%
P	43	4.5%
E	42	4.4%
S	40	4.1%
Other values (10)	245	25.4%

Decimal Number

Value	Count	Frequency (%)
5	116	24.5%
0	111	23.5%
3	96	20.3%
9	66	14.0%
2	25	5.3%
4	23	4.9%
1	22	4.7%
6	14	3.0%

Space Separator

Value	Count	Frequency (%)
	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3589	87.6%
Common	507	12.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	381	10.6%
e	339	9.4%
r	309	8.6%
o	191	5.3%
i	180	5.0%
t	153	4.3%
l	139	3.9%
n	133	3.7%
M	133	3.7%
s	125	3.5%
Other values (33)	1506	42.0%

Common

Value	Count	Frequency (%)
5	116	22.9%
0	111	21.9%
3	96	18.9%
9	66	13.0%
	34	6.7%
2	25	4.9%
4	23	4.5%
1	22	4.3%
6	14	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4096	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	381	9.3%
e	339	8.3%
r	309	7.5%
o	191	4.7%
i	180	4.4%
t	153	3.7%
l	139	3.4%
n	133	3.2%
M	133	3.2%
s	125	3.1%
Other values (42)	2013	49.1%

fraud_reported
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	602
True	198

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	602	75.2%
True	198	24.8%

Auto

Heatmap
Table

	months_as_customer	age	policy_number	policy_annual_premium	umbrella_limit	insured_zip	capital-gains	capital-loss	incident_hour_of_the_day	total_claim_amount	injury_claim	property_claim	vehicle_claim	auto_year	policy_deductable	number_of_vehicles_involved	bodily_injuries	witnesses	policy_state	policy_csl	insured_sex	insured_hobbies	incident_type	collision_type	incident_severity	authorities_contacted	incident_state	incident_city	property_damage	police_report_available	auto_make	auto_model	fraud_reported
months_as_customer	1.000	0.912	0.033	0.000	0.017	0.001	-0.010	0.004	0.101	0.045	0.062	0.011	0.044	0.022	0.000	0.000	0.058	0.000	0.046	0.000	0.110	0.042	0.000	0.000	0.049	0.000	0.000	0.038	0.000	0.077	0.000	0.000	0.000
age	0.912	1.000	0.046	0.011	0.007	-0.008	-0.036	-0.017	0.114	0.063	0.077	0.046	0.052	0.022	0.000	0.104	0.000	0.019	0.023	0.022	0.062	0.000	0.000	0.000	0.041	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
policy_number	0.033	0.046	1.000	0.011	-0.010	0.014	-0.016	-0.025	0.013	-0.028	-0.023	-0.018	-0.033	0.011	0.000	0.000	0.000	0.043	0.056	0.012	0.000	0.027	0.013	0.050	0.000	0.024	0.000	0.033	0.067	0.028	0.042	0.030	0.000
policy_annual_premium	0.000	0.011	0.011	1.000	-0.000	0.057	-0.024	0.037	-0.018	-0.000	-0.022	0.005	0.013	-0.050	0.065	0.000	0.000	0.027	0.000	0.088	0.159	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.060	0.046	0.000	0.000	0.041
umbrella_limit	0.017	0.007	-0.010	-0.000	1.000	0.034	-0.024	-0.027	-0.053	-0.055	-0.050	-0.027	-0.052	0.021	0.000	0.097	0.087	0.000	0.060	0.000	0.000	0.022	0.000	0.000	0.045	0.017	0.097	0.056	0.000	0.057	0.000	0.000	0.052
insured_zip	0.001	-0.008	0.014	0.057	0.034	1.000	-0.032	0.055	-0.009	0.023	-0.003	0.023	0.007	-0.055	0.000	0.031	0.000	0.000	0.029	0.000	0.000	0.025	0.024	0.000	0.000	0.000	0.027	0.034	0.026	0.081	0.000	0.000	0.069
capital-gains	-0.010	-0.036	-0.016	-0.024	-0.024	-0.032	1.000	-0.065	-0.037	0.007	0.019	0.002	0.002	0.038	0.000	0.090	0.076	0.039	0.000	0.080	0.000	0.047	0.027	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.024	0.000	0.000
capital-loss	0.004	-0.017	-0.025	0.037	-0.027	0.055	-0.065	1.000	-0.017	-0.046	-0.054	-0.019	-0.042	-0.046	0.029	0.000	0.000	0.000	0.058	0.000	0.089	0.036	0.000	0.051	0.004	0.027	0.000	0.050	0.000	0.000	0.006	0.000	0.000
incident_hour_of_the_day	0.101	0.114	0.013	-0.018	-0.053	-0.009	-0.037	-0.017	1.000	0.197	0.175	0.188	0.194	0.031	0.085	0.118	0.000	0.027	0.000	0.000	0.000	0.000	0.269	0.284	0.196	0.176	0.000	0.000	0.000	0.023	0.000	0.000	0.081
total_claim_amount	0.045	0.063	-0.028	-0.000	-0.055	0.023	0.007	-0.046	0.197	1.000	0.812	0.816	0.969	-0.010	0.000	0.244	0.055	0.000	0.000	0.000	0.057	0.031	0.576	0.575	0.431	0.388	0.027	0.000	0.000	0.066	0.000	0.026	0.150
injury_claim	0.062	0.077	-0.023	-0.022	-0.050	-0.003	0.019	-0.054	0.175	0.812	1.000	0.598	0.718	0.019	0.056	0.216	0.076	0.000	0.040	0.000	0.000	0.034	0.540	0.539	0.395	0.371	0.000	0.000	0.000	0.037	0.047	0.048	0.106
property_claim	0.011	0.046	-0.018	0.005	-0.027	0.023	0.002	-0.019	0.188	0.816	0.598	1.000	0.720	0.021	0.036	0.215	0.061	0.000	0.000	0.037	0.020	0.000	0.539	0.543	0.399	0.365	0.000	0.014	0.029	0.000	0.000	0.071	0.174
vehicle_claim	0.044	0.052	-0.033	0.013	-0.052	0.007	0.002	-0.042	0.194	0.969	0.718	0.720	1.000	-0.032	0.035	0.239	0.062	0.000	0.000	0.038	0.000	0.020	0.576	0.576	0.431	0.383	0.053	0.000	0.000	0.090	0.000	0.000	0.159
auto_year	0.022	0.022	0.011	-0.050	0.021	-0.055	0.038	-0.046	0.031	-0.010	0.019	0.021	-0.032	1.000	0.032	0.056	0.097	0.074	0.000	0.000	0.083	0.000	0.039	0.000	0.000	0.055	0.054	0.026	0.034	0.000	0.000	0.000	0.042
policy_deductable	0.000	0.000	0.000	0.065	0.000	0.000	0.000	0.029	0.085	0.000	0.056	0.036	0.035	0.032	1.000	0.072	0.043	0.020	0.000	0.000	0.000	0.000	0.048	0.000	0.000	0.000	0.056	0.000	0.000	0.000	0.000	0.000	0.000
number_of_vehicles_involved	0.000	0.104	0.000	0.000	0.097	0.031	0.090	0.000	0.118	0.244	0.216	0.215	0.239	0.056	0.072	1.000	0.000	0.000	0.000	0.000	0.028	0.000	0.575	0.236	0.181	0.180	0.000	0.032	0.000	0.000	0.000	0.071	0.000
bodily_injuries	0.058	0.000	0.000	0.000	0.087	0.000	0.076	0.000	0.000	0.055	0.076	0.061	0.062	0.097	0.043	0.000	1.000	0.000	0.061	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.000	0.000	0.000	0.000	0.042
witnesses	0.000	0.019	0.043	0.027	0.000	0.000	0.039	0.000	0.027	0.000	0.000	0.000	0.000	0.074	0.020	0.000	0.000	1.000	0.000	0.023	0.020	0.055	0.000	0.055	0.044	0.007	0.033	0.042	0.025	0.000	0.000	0.000	0.061
policy_state	0.046	0.023	0.056	0.000	0.060	0.029	0.000	0.058	0.000	0.000	0.040	0.000	0.000	0.000	0.000	0.000	0.061	0.000	1.000	0.000	0.000	0.000	0.000	0.026	0.000	0.029	0.000	0.000	0.044	0.045	0.082	0.088	0.000
policy_csl	0.000	0.022	0.012	0.088	0.000	0.000	0.080	0.000	0.000	0.000	0.000	0.037	0.038	0.000	0.000	0.000	0.000	0.023	0.000	1.000	0.000	0.000	0.021	0.062	0.000	0.039	0.000	0.000	0.000	0.061	0.000	0.053	0.000
insured_sex	0.110	0.062	0.000	0.159	0.000	0.000	0.000	0.089	0.000	0.057	0.000	0.020	0.000	0.083	0.000	0.028	0.000	0.020	0.000	0.000	1.000	0.081	0.012	0.000	0.000	0.064	0.062	0.036	0.020	0.026	0.000	0.085	0.000
insured_hobbies	0.042	0.000	0.027	0.000	0.022	0.025	0.047	0.036	0.000	0.031	0.034	0.000	0.020	0.000	0.000	0.000	0.000	0.055	0.000	0.000	0.081	1.000	0.044	0.068	0.000	0.000	0.052	0.025	0.000	0.107	0.029	0.038	0.436
incident_type	0.000	0.000	0.013	0.000	0.000	0.024	0.027	0.000	0.269	0.576	0.540	0.539	0.576	0.039	0.048	0.575	0.000	0.000	0.000	0.021	0.012	0.044	1.000	0.576	0.424	0.448	0.063	0.031	0.000	0.000	0.000	0.098	0.158
collision_type	0.000	0.000	0.050	0.000	0.000	0.000	0.000	0.051	0.284	0.575	0.539	0.543	0.576	0.000	0.000	0.236	0.000	0.055	0.026	0.062	0.000	0.068	0.576	1.000	0.424	0.445	0.070	0.000	0.000	0.000	0.000	0.000	0.157
incident_severity	0.049	0.041	0.000	0.000	0.045	0.000	0.016	0.004	0.196	0.431	0.395	0.399	0.431	0.000	0.000	0.181	0.000	0.044	0.000	0.000	0.000	0.000	0.424	0.424	1.000	0.313	0.041	0.000	0.071	0.000	0.000	0.000	0.498
authorities_contacted	0.000	0.000	0.024	0.000	0.017	0.000	0.000	0.027	0.176	0.388	0.371	0.365	0.383	0.055	0.000	0.180	0.000	0.007	0.029	0.039	0.064	0.000	0.448	0.445	0.313	1.000	0.010	0.000	0.000	0.000	0.000	0.000	0.153
incident_state	0.000	0.000	0.000	0.000	0.097	0.027	0.000	0.000	0.000	0.027	0.000	0.000	0.053	0.054	0.056	0.000	0.000	0.033	0.000	0.000	0.062	0.052	0.063	0.070	0.041	0.010	1.000	0.000	0.000	0.064	0.010	0.045	0.135
incident_city	0.038	0.000	0.033	0.000	0.056	0.034	0.000	0.050	0.000	0.000	0.000	0.014	0.000	0.026	0.000	0.032	0.011	0.042	0.000	0.000	0.036	0.025	0.031	0.000	0.000	0.000	0.000	1.000	0.084	0.048	0.014	0.093	0.000
property_damage	0.000	0.000	0.067	0.060	0.000	0.026	0.000	0.000	0.000	0.000	0.000	0.029	0.000	0.034	0.000	0.000	0.000	0.025	0.044	0.000	0.020	0.000	0.000	0.000	0.071	0.000	0.000	0.084	1.000	0.000	0.000	0.060	0.084
police_report_available	0.077	0.000	0.028	0.046	0.057	0.081	0.000	0.000	0.023	0.066	0.037	0.000	0.090	0.000	0.000	0.000	0.000	0.000	0.045	0.061	0.026	0.107	0.000	0.000	0.000	0.000	0.064	0.048	0.000	1.000	0.000	0.000	0.000
auto_make	0.000	0.000	0.042	0.000	0.000	0.000	0.024	0.006	0.000	0.000	0.047	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.082	0.000	0.000	0.029	0.000	0.000	0.000	0.000	0.010	0.014	0.000	0.000	1.000	0.984	0.000
auto_model	0.000	0.000	0.030	0.000	0.000	0.000	0.000	0.000	0.000	0.026	0.048	0.071	0.000	0.000	0.000	0.071	0.000	0.000	0.088	0.053	0.085	0.038	0.098	0.000	0.000	0.000	0.045	0.093	0.060	0.000	0.984	1.000	0.113
fraud_reported	0.000	0.000	0.000	0.041	0.052	0.069	0.000	0.000	0.081	0.150	0.106	0.174	0.159	0.042	0.000	0.000	0.042	0.061	0.000	0.000	0.000	0.436	0.158	0.157	0.498	0.153	0.135	0.000	0.084	0.000	0.000	0.113	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	months_as_customer	age	policy_number	policy_deductable	policy_annual_premium	umbrella_limit	insured_zip	capital-gains	capital-loss	incident_hour_of_the_day	number_of_vehicles_involved	bodily_injuries	witnesses	total_claim_amount	injury_claim	property_claim	vehicle_claim	auto_year	policy_state	policy_csl	insured_sex	insured_hobbies	incident_type	collision_type	incident_severity	authorities_contacted	incident_state	incident_city	property_damage	police_report_available	auto_make	auto_model	fraud_reported
887	441	55	669501	500	1270	4000000	449421	24000	-50500	4	1	0	0	6400	640	640	5120	2002	IN	250/500	MALE	exercise	Parked Car	UNKNOWN	Minor Damage	None	VA	Arlington	NO	NO	Honda	Civic	N
317	275	45	403737	2000	1447	0	605756	39400	-63900	8	3	1	1	64320	5360	10720	48240	1998	IN	500/1000	FEMALE	camping	Multi-vehicle Collision	Side Collision	Total Loss	Ambulance	VA	Northbend	YES	UNKNOWN	Accura	MDX	N
796	421	56	728025	500	1935	4000000	470826	49500	-81100	7	1	2	3	92730	16860	8430	67440	2004	IN	100/300	MALE	reading	Single Vehicle Collision	Rear Collision	Major Damage	Ambulance	NY	Hillsdale	UNKNOWN	UNKNOWN	Mercedes	E400	Y
425	4	34	424358	500	1282	0	616126	0	0	0	4	0	0	66880	6080	12160	48640	1996	OH	500/1000	FEMALE	basketball	Multi-vehicle Collision	Side Collision	Major Damage	Police	WV	Northbrook	UNKNOWN	UNKNOWN	Chevrolet	Silverado	Y
991	257	44	109392	1000	1280	0	433981	59400	-32200	21	1	0	1	46980	0	5220	41760	2002	OH	100/300	MALE	basketball	Single Vehicle Collision	Rear Collision	Total Loss	Other	WV	Riverwood	NO	NO	Accura	TL	N
924	135	30	913464	2000	1341	0	601701	37100	-46500	18	3	0	1	32670	5940	2970	23760	2003	IN	500/1000	FEMALE	skydiving	Multi-vehicle Collision	Rear Collision	Minor Damage	Ambulance	WV	Riverwood	NO	NO	Honda	Accord	N
828	105	28	866805	500	1082	0	452216	0	0	12	3	2	2	60500	12100	6050	42350	1995	OH	250/500	FEMALE	golf	Multi-vehicle Collision	Rear Collision	Major Damage	Fire	SC	Riverwood	NO	NO	Audi	A5	N
364	291	46	832746	1000	994	0	452701	0	-55300	8	1	2	2	5580	620	620	4340	2005	OH	500/1000	FEMALE	polo	Parked Car	UNKNOWN	Minor Damage	Police	SC	Hillsdale	NO	YES	Volkswagen	Passat	Y
683	238	43	444035	1000	1524	4000000	607458	0	-44800	21	4	0	0	42700	4270	4270	34160	1995	OH	250/500	MALE	chess	Multi-vehicle Collision	Rear Collision	Total Loss	Ambulance	NC	Hillsdale	NO	NO	Saab	92x	Y
242	190	40	390381	2000	965	0	610354	36900	-53700	10	1	2	1	6300	630	630	5040	2001	OH	500/1000	FEMALE	camping	Parked Car	UNKNOWN	Trivial Damage	None	SC	Hillsdale	UNKNOWN	YES	Nissan	Ultima	N

	months_as_customer	age	policy_number	policy_deductable	policy_annual_premium	umbrella_limit	insured_zip	capital-gains	capital-loss	incident_hour_of_the_day	number_of_vehicles_involved	bodily_injuries	witnesses	total_claim_amount	injury_claim	property_claim	vehicle_claim	auto_year	policy_state	policy_csl	insured_sex	insured_hobbies	incident_type	collision_type	incident_severity	authorities_contacted	incident_state	incident_city	property_damage	police_report_available	auto_make	auto_model	fraud_reported
315	256	42	860497	1000	1286	0	460564	0	-39500	14	1	2	1	75500	7550	15100	52850	1998	IL	500/1000	FEMALE	bungie-jumping	Single Vehicle Collision	Rear Collision	Minor Damage	Police	WV	Northbend	NO	UNKNOWN	Nissan	Ultima	N
472	360	51	484321	1000	1152	0	434669	0	-62400	15	3	2	0	90480	15080	15080	60320	2000	IL	250/500	MALE	hiking	Multi-vehicle Collision	Side Collision	Total Loss	Ambulance	WV	Riverwood	NO	YES	BMW	X6	N
799	34	24	482404	2000	1550	0	435632	0	-27700	20	1	0	1	3960	660	660	2640	1998	IN	500/1000	FEMALE	dancing	Parked Car	UNKNOWN	Trivial Damage	None	VA	Hillsdale	YES	UNKNOWN	Audi	A3	N
447	352	53	993840	500	1793	0	619166	0	0	23	1	2	2	68750	12500	6250	50000	2009	IL	250/500	MALE	exercise	Single Vehicle Collision	Front Collision	Minor Damage	Fire	NC	Riverwood	YES	NO	Chevrolet	Malibu	N
923	90	31	524215	2000	951	0	607131	42100	0	2	1	1	0	75790	13780	6890	55120	2007	OH	250/500	FEMALE	hiking	Single Vehicle Collision	Rear Collision	Total Loss	Other	SC	Hillsdale	YES	YES	Accura	RSX	N
678	276	45	749325	500	948	0	430621	44500	-61400	11	3	0	2	69300	13860	6930	48510	2010	IL	500/1000	FEMALE	reading	Multi-vehicle Collision	Front Collision	Minor Damage	Fire	SC	Columbus	UNKNOWN	UNKNOWN	Ford	Escape	N
789	169	34	725330	500	1469	0	458132	0	-57600	0	1	0	0	38700	7740	3870	27090	2012	IN	100/300	FEMALE	reading	Single Vehicle Collision	Rear Collision	Minor Damage	Fire	VA	Arlington	UNKNOWN	YES	Volkswagen	Passat	N
240	249	43	547802	1000	1518	0	606238	0	0	16	1	0	0	53500	5350	5350	42800	2015	IL	250/500	FEMALE	cross-fit	Single Vehicle Collision	Front Collision	Major Damage	Fire	SC	Riverwood	UNKNOWN	YES	Saab	92x	N
263	244	40	226725	2000	1304	7000000	605408	0	-45000	5	3	1	1	61490	5590	11180	44720	2001	IN	500/1000	MALE	base-jumping	Multi-vehicle Collision	Side Collision	Minor Damage	Police	SC	Hillsdale	UNKNOWN	UNKNOWN	Dodge	RAM	N
594	160	38	497929	500	1733	0	441425	0	-43800	13	3	2	1	66780	7420	14840	44520	1996	OH	250/500	MALE	sleeping	Multi-vehicle Collision	Side Collision	Major Damage	Fire	SC	Hillsdale	NO	YES	Mercedes	ML350	N

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block